Posts

The Role of MDM in the Developing IT Landscape

I recently read an article from Bob Violino about The Growing Complexity of Data Integration. The article is in regard to organization’s deprecating functionality traditionally supported by monolithic ERP systems in favor of best-of-breed, cloud and SaaS based applications. This fracturing of core ERP functionality will create an even more complicated IT landscape fraught with data integration challenges.  Read more

Announcing Magnitude ONE

As readers of this blog are aware, we have frequently discussed a variety of topics related to master data management. Over the course of the last decade we’ve enabled a good number of companies to deliver better reference and master data, across all domains (customer, product, financial, supplier, employee, etc.), and for operational as well as analytical systems. You can read about a few of them here. Read more

MDM Architectural Styles: Domains Matter

In a previous blog I discussed the four primary MDM architectural styles: consolidated, registry, coexistence, and transactional. In case you missed it, read it here: MDM Architecture Styles – Do you have the right mix? Each has their individual strengths and weaknesses, but no single MDM architectural style is ideal for every application.  Read more

Data Quality & User Overrides: Shut Up and Take My Money!

Last Tuesday a data quality vendor put out a blog post “Companies need to be educated on data quality” that essentially said that companies need to be educated in data management.    Read more

Event: Kalido Customer & Partner Meeting

This week, we look forward to hosting a Customer & Partner Event for the EMEA region at the Hempel Hotel in London. Read more

Single Versions of the Truths

I just finished reading a blog by Forrester’s Connie Moore, “Do You Have a Single Version of Process?” on the Information Management website.  Read more

Why some Data Quality and MDM tools undermine Data Governance

If you ask most people involved with information management and data governance if they understand data quality you would get a resounding “yes!”  However, the true definition of what constitutes quality data is a very complex and subtle one.  Data that is “high quality” for the purpose of, say, operations may be nearly useless for the purpose of invoicing.  In other words, data quality really is relative to the business process that will use the data. Read more

Great American Insurance and the journey to MDM

We’ll be at the 2012 MDM & Data Governance Summit in NYC next week presenting not once, but twice on Monday. First up will be our resident data governance expert Mike Wheeler discussing how to use MDM to speed data-centric decision making. Read more

Data Management is a Business Process

I’ve been in and around the data space for over 15 years now, first with Hyperion Software helping finance departments consolidate their financial data. Hyperion understood that Consolidation was a process, not just a set of numbers. We needed to do currency conversions, inter-company eliminations, etc. to deliver a set of financials that could pass regulatory scrutiny. Read more

What Goes Around, Comes Around

This week my email digest of articles from Agile Data Warehousing pointed me to an interesting article posted on TDWI’s site about Big Data. The discussion started off as most Big Data discussions do these days, around the so-called 3 Vs of Big Data – volume, variety and velocity. Read more